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StrictOps
control plane
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Built for AI-first founders · launching soon

You vibe code.
We handle production.

StrictOps is the missing layer between AI-generated code and real production systems. Build with Claude and Codex — ship to your own AWS without learning a single line of DevOps.

Start building free See how it works
Time to prod
~30 min
YAML you'll write
0 lines
Environments
dev · stage · prod
Your AWS
Always
Production · healthy
live · last events
awaiting deploy…
Prompt→Code→Push→Live→Prompt→Code→Push→Live→Prompt→Code→Push→Live→Prompt→Code→Push→Live→Prompt→Code→Push→Live→Prompt→Code→Push→Live→
01 · The premise

AI made writing code trivial.
Getting it to production is still brutal.
We fixed the second part.

Your AI agent can ship a feature in 20 minutes. Then you spend three weeks gluing GitHub Actions, IAM policies, CloudFormation, secret managers, observability dashboards, and rollback runbooks before any of it sees a user.

StrictOps gives you a working pipeline on day one — three real environments (dev / stage / prod) provisioned in your own AWS account, owned by you, with the safety rails a real production system needs.

No CloudFormation. No Dockerfiles. No YAML hell. Just push code, ship code.

02 · What you get

Built for builders,
not infrastructure experts.

Three things StrictOps does that your AI editor can't — and that you really don't want to learn yourself.

[ 01 ]

AI-native workflow

Claude opens a PR → GitHub runs checks → it flows through dev, then stage, then prod with explicit human approval at the gate. Your AI agents work inside your own GitHub account, on your policies.

[ 02 ]

Production without pain

No AWS complexity. No CI/CD setup. No security guesswork. We bootstrap dev + stage + prod environments, deploy pipelines, observability, and rollback policies — on day one.

[ 03 ]

Your infrastructure, always

StrictOps doesn't host your app. Everything runs in YOUR AWS account via a scoped cross-account role. No platform lock-in, no hidden abstractions, no future migration tax when you outgrow us.

03 · The difference

Two ways to ship the
thing your AI just wrote.

Pick whichever you prefer. We've heard convincing arguments for both.

The hard way

Roll your own platform

  • ✕ Wire GitHub Actions to AWS. Re-wire when IAM rotates.
  • ✕ Write Terraform / CDK / CloudFormation by hand. Or learn one and migrate later.
  • ✕ Build canary deploys, rollbacks, and error-budget gates from scratch.
  • ✕ Stand up CloudWatch dashboards, log routing, alerting — yourself.
  • ✕ Hire a platform engineer at $220K while runway burns.
  • ✕ Discover you wrote a secret to logs three months in.
The StrictOps way

strictops init

  • ✓ GitHub ↔ AWS link in one click. Rotation handled.
  • ✓ Infra-as-code generated from your repo's reality, not your guesses.
  • ✓ Canary, rollback, and error-rate gates wired by default.
  • ✓ CloudWatch dashboards, log routing, alerting — bootstrapped.
  • ✓ No platform engineer needed until you're past Series A.
  • ✓ Policy guardrails block the dumb stuff before it ships.
04 · Where StrictOps lives

We slot in.
We don't swallow.

StrictOps is the layer between your AI tools and your AWS account. Your code stays in your repo. Your infrastructure stays in your account. Cancel us tomorrow and your production keeps running — because it's yours.

you + your AI
claude · cursor · codex
— write features
your repo
github · main + features
— owned by you
strictops control plane
pipelines · policies · rollback
— the part we run
your aws account
ecs · rds · s3 · cloudwatch
— always yours
05 · Developer tools

Meets you where you work.

Terminal, AI editor, browser. Pick your weapon — they all hit the same control plane.

CLI

StrictOps CLI

Detect, initialize, validate, deploy. One command, one source of truth.

# go from clone to deployed
→ strictops init
→ strictops deploy --env prod
MCP

MCP Server

Validate strictops.yml inside Claude Desktop, Cursor, or any MCP-aware editor — before you push.

# claude in your editor
ask strictops: "why did build #128 fail?"
COPILOT

AI Assistant

Claude Sonnet 4.6 with live access to your deployments, logs, alarms, and config — built into the console.

# in the strictops console
→ roll back prod to a8f3e1
↳ done · 11s
06 · Pricing

Free until it matters.

You won't pay us until you have real users. AWS pays AWS directly — our line on your bill stays small.

Free
$0/forever

For solo founders shipping their first thing. Real infrastructure, real limits.

Start free
  • 1 service · 1 environment
  • Your AWS account · always yours
  • CLI + MCP server included
  • GitHub deploy pipeline
  • Community support
Pro
$99/mo per project

For teams going from prototype to paying customers. Day-one buy for any real project.

Start 14-day trial
  • Three environments (dev · stage · prod)
  • Custom domain + HTTPS, managed
  • AI assistant powered by Claude Sonnet 4.6
  • Canary deploys + auto-rollback
  • Custom policies + audit log
  • Priority email support
Team
$399/mo

For teams running multiple projects with role-based access and SLAs.

Talk to us
  • Multi-project orgs
  • Role-based access (RBAC)
  • SLA on the control plane
  • Slack alerting + on-call routing
  • Multi-region pipelines
  • Priority engineering support
Enterprise
Custom

For when production matters more than your weekend. EC2-backed compute, compliance add-ons.

Talk to a human
  • EC2 + dedicated tenancy options
  • SSO + SCIM
  • SOC 2 readiness package
  • Custom IAM boundary policies
  • Onboarding engineer assigned
  • Slack channel with our team
07 · Questions

Things founders ask us.

That's the entire reason it exists. If you can use git push and click a button to authorize GitHub, you can ship to production with StrictOps. We don't expose Terraform, CloudFormation, or YAML to you — those exist under the hood, generated from your repo.
Your app keeps running. Everything provisioned by StrictOps lives in your own AWS account — pipelines, infra, secrets, all of it. The control plane is the only thing that goes away, and you can replace it with a normal Terraform workflow because that's all we're generating anyway.
Because doing one cloud extremely well beats doing three clouds badly. GCP and Azure support are on the roadmap once we've earned the right to be opinionated about them. If you need them today, we're probably not the right fit yet.
Vercel, Railway, and Heroku are hosting platforms — your app runs on their infrastructure. StrictOps is a control plane — your app runs on yours. Different trade: less convenient at the very start, but no migration tax when you grow, no surprise bills, no vendor lock-in on data residency or compliance.
TypeScript + Next.js (web) and NestJS (API/workers), with Postgres via Prisma. That tight default is what makes ~30-minute onboarding possible. Python/FastAPI, Go, and serverless adapters are on the roadmap.
They can, if you let them. Claude, Cursor, and Codex can all be configured to open PRs against your repo, which then flow through our pipeline like any human PR — same checks, same policy gates, same approval before prod. You stay in control of the merge.

Ready to ship
with AI?

Vibe coding gets you to v1. StrictOps gets you to production — without learning DevOps.